Merge pull request #20 from CMCC-Foundation/v0.2.7.1-hotfix

minor bugfixes

README.md

@@ -1,14 +1,15 @@
-[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.10597965.svg)](https://doi.org/10.5281/zenodo.10597965)
-
 # geokube
 
 ## Description
 
 **geokube** is an open source Python package for geoscience data analysis that provides the user with a simple application programming interface (API) for performing geospatial operations (e.g., extracting a bounding box or regridding) and temporal operations (e.g., resampling) on different types of scientific feature types like grids, profiles and points, using  `xarray` data structures and xarray ecosystem frameworks such as `xesmf`.
 
-## Authors
+## Developers Team
+
+- [Valentina Scardigno](https://github.com/vale95-eng)
+- [Gabriele Tramonte](https://github.com/gtramonte)
 
-**Lead Developers**:
+### Former Developers
 
 - [Marco Mancini](https://github.com/km4rcus)
 - [Jakub Walczak](https://github.com/jamesWalczak)
@@ -17,27 +18,15 @@
 ## Installation 
 
 #### Requirements
-You need to install xesmf and cartopy to use geokube. This can be done during the creation of conda virtual environment, as shown below
+You need to install xesmf and cartopy to use some feature of geokube.
 
-Add or append conda-forge channel
 ```bash
-conda config --add channels conda-forge
-```
-or
-```bash
-conda config --append channels conda-forge
+pip install geokube==v0.2.7.2
 ```
 
-#### Conda Environment
-Create virtual environment with installing xesmf and cartopy package
-```bash
-conda create -n geokube python=3.9 xesmf=0.6.2 cartopy -y
-```
-Activate virtual environment
-```bash
-conda activate geokube
-```
-Install geokube framework
+#### Docker Image
+Prebuilt Docker images of Geokube are available:
+
 ```bash
-python setup.py install
+docker pull rg.fr-par.scw.cloud/geokube/geokube:v0.2.7.2
 ```

geokube/backend/netcdf.py

@@ -89,7 +89,7 @@ def open_datacube(
     if engine == "zarr":
         kwargs.setdefault("decode_coords", "all")
     ds = geokube.core.datacube.DataCube.from_xarray(
-        xr.open_mfdataset(path, engine=engine, **kwargs),
+        xr.open_mfdataset(path, engine=engine, **kwargs) if 'http' not in path else xr.open_dataset(path, engine=engine, **kwargs),
         id_pattern=id_pattern,
         mapping=mapping,
     )

geokube/core/datacube.py

@@ -526,7 +526,7 @@ def to_zarr(self, path, encoding: bool = True, **kwargs):
 
     @geokube_logging
     def to_csv(self, path, encoding: bool = True):
-        self.to_xarray(encoding=encoding).to_dataframe().drop(columns=['crs_latitude_longitude']).to_csv(path)
+        self.to_xarray(encoding=encoding).to_dataframe().drop(columns=['crs_latitude_longitude'], errors='ignore').to_csv(path)
 
     def persist(self, path=None) -> str:
         if path is None:

geokube/core/field.py

@@ -1433,7 +1433,7 @@ def plot(
         # Adding gridlines and Cartopy features (borders, coastline, lakes,
         # land, ocean, rivers, or states) to all plot axes:
         if has_cartopy_items:
-            axes = np.array(plot.axes, copy=False, ndmin=1)
+            axes = np.asarray(plot.axes)
             if features:
                 for ax in axes.flat:
                     for feature in features:

geokube/version.py

@@ -1 +1 @@
-__version__ = "0.2.7.1"
+__version__ = "0.2.7.2"